Withdraw
Loading…
Single view object completion
Thorsen, Justin
Content Files

Loading…
Download Files
Loading…
Download Counts (All Files)
Loading…
Edit File
Loading…
Permalink
https://hdl.handle.net/2142/72806
Description
- Title
- Single view object completion
- Author(s)
- Thorsen, Justin
- Issue Date
- 2015-01-21
- Director of Research (if dissertation) or Advisor (if thesis)
- Hoiem, Derek W.
- Department of Study
- Computer Science
- Discipline
- Computer Science
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- M.S.
- Degree Level
- Thesis
- Date of Ingest
- 2015-01-21T19:48:24Z
- Keyword(s)
- Single view object reconstruction
- Object completion from a depth map
- Partial view matching
- Object deformation
- Abstract
- The goal of this paper is to achieve complete reconstruction of a 3d object from a single depth image observation. Much effort has been put on multi-view reconstruction of objects with substantial success, but single view recon- struction is still very limited. Initial methods produce only partial reconstructions by projecting a depth map. State of the art approaches achieve complete reconstruction but either require user interaction or perform successfully on only a handful of simple categories. The method described in this paper is an exemplar based approach to fully au- tomated reconstruction of a large variety of object classes using only a single depth image. The approach has three major components: retrieving a similar object, fitting the matched object to the query point cloud using alignment and symmetries, and reconstructing the mesh using the exemplar as a template. This method is evaluated in three distinct experiments: novel category (query of untrained class), novel model (query of trained class, untrained model), and novel view (query of trained model from a new viewpoint).
- Graduation Semester
- 2014-12
- Permalink
- http://hdl.handle.net/2142/72806
- Copyright and License Information
- Copyright 2014 Justin Thorsen
Owning Collections
Graduate Dissertations and Theses at Illinois PRIMARY
Graduate Theses and Dissertations at IllinoisDissertations and Theses - Computer Science
Dissertations and Theses from the Siebel School of Computer ScienceManage Files
Loading…
Edit Collection Membership
Loading…
Edit Metadata
Loading…
Edit Properties
Loading…
Embargoes
Loading…